H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 3,838 104 World Ranking 7000 National Ranking 820

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Algorithm
  • Linear programming

His primary scientific interests are in Mathematical optimization, Simulation, Algorithm, Genetic algorithm and Search algorithm. The concepts of his Mathematical optimization study are interwoven with issues in Fuzzy set operations and Fuzzy transportation. His Simulation study combines topics in areas such as Iterative method and Job shop scheduling.

His biological study focuses on Tabu search. His Branch and bound research also works with subjects such as

  • Goal programming most often made with reference to Algorithm design,
  • Lagrange multiplier together with Lagrangian relaxation and Integer programming. He interconnects Decision variables, Collaborative optimization, Solver and Minification in the investigation of issues within Scheduling.

His most cited work include:

  • Optimizing trains movement on a railway network (130 citations)
  • Fuzzy fixed charge solid transportation problem and algorithm (126 citations)
  • Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach (124 citations)

What are the main themes of his work throughout his whole career to date?

Lixing Yang mainly investigates Mathematical optimization, Control theory, Integer programming, Simulation and Schedule. As a member of one scientific family, Lixing Yang mostly works in the field of Mathematical optimization, focusing on Path and, on occasion, Hybrid algorithm. His Control theory study combines topics from a wide range of disciplines, such as Control engineering, Model predictive control and Headway.

His research investigates the connection between Headway and topics such as Urban rail transit that intersect with issues in Dynamic programming. As part of one scientific family, Lixing Yang deals mainly with the area of Integer programming, narrowing it down to issues related to the Stochastic optimization, and often Stochastic programming. Lixing Yang has included themes like Maintenance planning, Automotive engineering and Minification in his Scheduling study.

He most often published in these fields:

  • Mathematical optimization (50.00%)
  • Control theory (16.36%)
  • Integer programming (15.45%)

What were the highlights of his more recent work (between 2019-2021)?

  • Mathematical optimization (50.00%)
  • Integer programming (15.45%)
  • Lagrangian relaxation (11.82%)

In recent papers he was focusing on the following fields of study:

Mathematical optimization, Integer programming, Lagrangian relaxation, Control theory and Headway are his primary areas of study. In his study, Travel time is inextricably linked to Robustness, which falls within the broad field of Mathematical optimization. His Integer programming study deals with Stochastic optimization intersecting with Urban rail transit.

His Control theory research is multidisciplinary, incorporating elements of Perimeter control and Model predictive control. His work is dedicated to discovering how Model predictive control, Linearization are connected with Stability and other disciplines. The various areas that he examines in his Scheduling study include Maintenance plan, Maintenance planning, Task and Dynamic priority scheduling.

Between 2019 and 2021, his most popular works were:

  • Collaborative optimization for metro train scheduling and train connections combined with passenger flow control strategy (27 citations)
  • Energy-Efficient Subway Train Scheduling Design With Time-Dependent Demand Based on an Approximate Dynamic Programming Approach (13 citations)
  • Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation (11 citations)

In his most recent research, the most cited papers focused on:

  • Mathematical optimization
  • Algorithm
  • Linear programming

Lixing Yang focuses on Mathematical optimization, Integer programming, Lagrangian relaxation, Headway and Nonlinear mixed integer programming. His work on Scheduling as part of general Mathematical optimization research is often related to Joint, thus linking different fields of science. His biological study spans a wide range of topics, including Robust optimization and Travel time.

His research in Lagrangian relaxation intersects with topics in Urban rail transit, Lagrange multiplier and Linear programming. His Headway study integrates concerns from other disciplines, such as Message passing, Model predictive control and Control theory, Optimal control, Electronic speed control.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Fuzzy fixed charge solid transportation problem and algorithm

Lixing Yang;Linzhong Liu.
soft computing (2007)

189 Citations

Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand

Lixing Yang;Keping Li;Ziyou Gao.
IEEE Transactions on Fuzzy Systems (2009)

167 Citations

Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach

Jiateng Yin;Tao Tang;Lixing Yang;Ziyou Gao.
Transportation Research Part B-methodological (2016)

160 Citations

Optimizing trains movement on a railway network

Lixing Yang;Keping Li;Ziyou Gao;Xiang Li.
Omega-international Journal of Management Science (2012)

155 Citations

Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches

Jiateng Yin;Lixing Yang;Tao Tang;Ziyou Gao.
Transportation Research Part B-methodological (2017)

144 Citations

Logistics distribution centers location problem and algorithm under fuzzy environment

Lixing Yang;Xiaoyu Ji;Ziyou Gao;Keping Li.
Journal of Computational and Applied Mathematics (2007)

140 Citations

Collaborative optimization for train scheduling and train stop planning on high-speed railways

Lixing Yang;Jianguo Qi;Shukai Li;Yuan Gao.
Omega-international Journal of Management Science (2016)

126 Citations

Research and development of automatic train operation for railway transportation systems: A survey

Jiateng Yin;Tao Tang;Lixing Yang;Jing Xun.
Transportation Research Part C-emerging Technologies (2017)

120 Citations

Efficient scheduling of railway traffic based on global information of train

Feng Li;Ziyou Gao;Keping Li;Lixing Yang.
Transportation Research Part B-methodological (2008)

110 Citations

Rescheduling a metro line in an over-crowded situation after disruptions

Yuan Gao;Leo Kroon;Marie Schmidt;Lixing Yang.
Transportation Research Part B-methodological (2016)

101 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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